Twenty CRM MCP Server for LangChainGive LangChain instant access to 25 tools to Create Company, Create Note, Create Opportunity, and more

Name: Twenty CRM
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Twenty CRM through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Twenty CRM MCP Server for LangChain is a standout in the Sales Automation category — giving your AI agent 25 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "twenty-crm": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Twenty CRM, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Twenty CRM MCP Server

Connect your Twenty CRM account to any AI agent and take full control of your sales pipeline and contact database through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Twenty CRM through native MCP adapters. Connect 25 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

People Management — List all contacts, fetch specific details, and create or update person records directly in the CRM.
Company Tracking — Manage organizational accounts, list companies, and inspect company metadata using unique IDs.
Opportunity Pipeline — Query all sales opportunities (deals), track progress, and create new entries to keep your pipeline updated.
Full Data Control — Perform CRUD operations (Create, Read, Update, Delete) on people and companies to maintain data hygiene.
Seamless Integration — Access your CRM data from Claude, Cursor, or any MCP-compatible client without leaving your workflow.

The Twenty CRM MCP Server exposes 25 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 25 Twenty CRM tools available for LangChain

When LangChain connects to Twenty CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning crm, contact-management, sales-pipeline, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create company on Twenty CRM

Create a new company

create

Create note on Twenty CRM

Create a new note

create

Create opportunity on Twenty CRM

Create a new opportunity

create

Create person on Twenty CRM

Create a new person

create

Create task on Twenty CRM

Create a new task

delete

Delete company on Twenty CRM

Delete a company

delete

Delete note on Twenty CRM

Delete a note

delete

Delete opportunity on Twenty CRM

Delete an opportunity

delete

Delete person on Twenty CRM

Delete a person

delete

Delete task on Twenty CRM

Delete a task

get

Get company on Twenty CRM

Get a specific company by ID

get

Get note on Twenty CRM

Get a specific note by ID

get

Get opportunity on Twenty CRM

Get a specific opportunity by ID

get

Get person on Twenty CRM

Get a specific person by ID

get

Get task on Twenty CRM

Get a specific task by ID

list

List companies on Twenty CRM

List companies in Twenty CRM

list

List notes on Twenty CRM

List notes in Twenty CRM

list

List opportunities on Twenty CRM

List opportunities in Twenty CRM

list

List people on Twenty CRM

List people in Twenty CRM

list

List tasks on Twenty CRM

List tasks in Twenty CRM

update

Update company on Twenty CRM

Update an existing company

update

Update note on Twenty CRM

Update an existing note

update

Update opportunity on Twenty CRM

Update an existing opportunity

update

Update person on Twenty CRM

Update an existing person

update

Update task on Twenty CRM

Update an existing task

Connect Twenty CRM to LangChain via MCP

Follow these steps to wire Twenty CRM into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 25 tools from Twenty CRM via MCP

Why Use LangChain with the Twenty CRM MCP Server

LangChain provides unique advantages when paired with Twenty CRM through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Twenty CRM MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Twenty CRM queries for multi-turn workflows

Twenty CRM + LangChain Use Cases

Practical scenarios where LangChain combined with the Twenty CRM MCP Server delivers measurable value.

RAG with live data: combine Twenty CRM tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Twenty CRM, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Twenty CRM tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Twenty CRM tool call, measure latency, and optimize your agent's performance

Example Prompts for Twenty CRM in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Twenty CRM immediately.

"List all people in my Twenty CRM."

"Create a new company named 'Global Tech Solutions'."

"Get the details for opportunity ID 101."

Troubleshooting Twenty CRM MCP Server with LangChain

Common issues when connecting Twenty CRM to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Twenty CRM + LangChain FAQ

Common questions about integrating Twenty CRM MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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